Wei Minn

Orcid: 0000-0002-3191-9795

According to our database1, Wei Minn authored at least 8 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Runtime Anomaly Detection for Drones: An Integrated Rule-Mining and Unsupervised-Learning Approach.
CoRR, May, 2025

Shelving it rather than Ditching it: Dynamically Debloating DEX and Native Methods of Android Applications without APK Modification.
CoRR, January, 2025

Fuzzing drones for anomaly detection: A systematic literature review.
Comput. Secur., 2025

DynDebloater: Dynamically Debloating Unwanted Features of Android Apps without APK Modification.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

2024
DronLomaly: Runtime Log-based Anomaly Detector for DJI Drones.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2022
DronLomaly: Runtime Detection of Anomalous Drone Behaviors via Log Analysis and Deep Learning.
Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022

2020
Experimental comparison of features and classifiers for Android malware detection.
Proceedings of the MOBILESoft '20: IEEE/ACM 7th International Conference on Mobile Software Engineering and Systems, 2020

SmartFuzz: An Automated Smart Fuzzing Approach for Testing SmartThings Apps.
Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020


  Loading...